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intuitions behind Data Science

Ashay Javadekar
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  • MATEMATIK

No math, no equations, just intuitions behind Data Science.

  1. Loss Function

    2021-12-13

    Loss Function

    The intuition behind loss function

    6 min
  2. Central Limit Theorem

    2021-12-04

    Central Limit Theorem

    A quick introduction to central limit theorem and why it helps data analysis

    5 min
  3. Causality and Control

    2021-12-03

    Causality and Control

    Thoughts on causality and the need for a control sample

    7 min
  4. Neural Networks

    2021-12-01

    Neural Networks

    Can we think of neural networks as layers of decisions with regression and classification at each layer?

    9 min
  5. Types of Data Attributes

    2021-11-29

    Types of Data Attributes

    What are the different types of data attributes?

    13 min
  6. Intercept

    2021-11-23

    Intercept

    Independence of the dependent variable

    7 min
  7. Bias and Variance

    2021-11-23

    Bias and Variance

    Generalizing the estimations of population parameters

    6 min
  8. Linear Regression

    2021-11-19

    Linear Regression

    Guessing the recipe of data!

    7 min
Visa alla (18)

Om

No math, no equations, just intuitions behind Data Science.

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  • Skapad av
    Ashay Javadekar
  • Aktiva år
    2 tn
  • Avsnitt
    18
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  • Programmets webbplats
    intuitions behind Data Science
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  • Bahrain
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  • Burkina Faso
  • Cameroun
  • Cape Verde
  • Chad
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  • Congo, The Democratic Republic Of The
  • Egypt
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  • Gabon
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  • Ghana
  • Guinea-Bissau
  • India
  • Iraq
  • Israel
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  • Liberia
  • Libya
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  • Oman
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  • Congo, Republic of
  • Rwanda
  • São Tomé and Príncipe
  • Saudi Arabia
  • Senegal
  • Seychelles
  • Sierra Leone
  • South Africa
  • Sri Lanka
  • Tajikistan
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  • Afghanistan
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  • 中国大陆
  • Fiji
  • 香港
  • Indonesia (English)
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